Deadbeat Simultaneous Parameter-State Estimation for Linear Continuous-time Systems: a Kernel-based Approach
| Main Author: | Li, Peng; Boem, Francesca; Pin, Gilberto; Parisini, Thomas |
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| Format: | Proceeding eJournal |
| Terbitan: |
, 2018
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/2590064 |
Daftar Isi:
- The simultaneous estimation of parameters and states in continuous-time linear MISO systems is considered in this paper. The estimates of system's parameters and states are provided simultaneously by a single estimator, where Volterra operators are suitably applied to the I/O measurements. This makes the estimator independent on the initial conditions thanks to the design of suitably shaped kernel functions equipped with non-asymptotic properties. As a result, in the noise-free scenario, instantaneous convergence can be obtained. Nohigh-gain injection nor periodic resetting is necessary. Numerical examples are reported showing the effectiveness of the proposed estimator.
- 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. P. Li, F. Boem, G. Pin, and T. Parisini, "Deadbeat Simultaneous Parameter-State Estimation for Linear Continuous-time Systems: a Kernel-based Approach," European Control Conference (ECC), Limassol, Cyprus, June 2018, pp. 2493-2498. doi: 10.23919/ECC.2018.8550508.